About NeuraTots
Solving the Pediatric Radiology AI Gap
Founded by a fellowship-trained Pediatric Radiologist with deep AI expertise, NeuraTots LLC exists to ensure that the next generation of medical AI works for the youngest patients—not just adults.
Dr. Olurotimi Komolafe
Founder & Principal Consultant
Fellowship-Trained Pediatric Radiologist
Expert AI & Radiomics Reviewer
Medical Device Innovator
A Unique Intersection of Clinical Expertise and AI Innovation
Dr. Olurotimi Komolafe is a fellowship-trained Pediatric Radiologist who has built a career at the intersection of pediatric imaging and artificial intelligence. His unique combination of deep clinical subspecialty training and hands-on AI experience positions him to bridge the critical gap between healthcare AI development and pediatric clinical needs.
As an expert reviewer in AI and Radiomics for the Journal of Pediatric Radiology—the world's top pediatric radiology subspecialty journal—Dr. Komolafe evaluates cutting-edge research at the frontier of the field. He co-led a landmark AI study that trained a model using 625 pediatric whole body MRIs to detect cancers in children with cancer predisposition syndromes.
Beyond academic research, Dr. Komolafe has direct industry experience, having provided dedicated pediatric radiology expertise to train radiology models for one of the leading AI companies globally. He also has a wearable Class II medical device in development, running on an AI backbone, demonstrating his commitment to translating AI innovation into real-world healthcare solutions.
With extensive experience spanning both private and public sector pediatric radiology and a professional network reaching across North America and Europe, Dr. Komolafe founded NeuraTots LLC to bring this rare combination of expertise to the growing number of organizations developing pediatric AI solutions.
Credentials & Experience
Why NeuraTots
Fellowship-Trained Pediatric Radiologist
Completed rigorous subspecialty fellowship training in pediatric radiology, providing deep expertise in the imaging of infants, children, and adolescents across all modalities.
Expert AI Reviewer — Journal of Pediatric Radiology
Serves as an expert reviewer in AI and Radiomics for the Journal of Pediatric Radiology—the globally preeminent subspecialty journal—having reviewed multiple AI and radiomics studies at the frontier of the field.
AI Research Leadership
Co-led a landmark AI study that trained a model using 625 pediatric whole body MRIs to detect cancers in children with cancer predisposition syndromes, demonstrating practical expertise in translating research into clinical AI tools.
Industry AI Training Experience
Provided dedicated pediatric radiology expertise to train radiology models for one of the leading AI companies globally, bringing subspecialty knowledge to industry-scale AI development.
Medical Device Innovation
Has a wearable Class II medical device currently in development, running on an AI backbone—demonstrating a commitment to pushing the boundaries of healthcare AI beyond traditional imaging.
International Professional Network
Maintains an extensive professional network spanning both North America and Europe, with experience across private and public sector pediatric radiology settings.
Our Purpose
Closing the Pediatric AI Gap
Our Mission
To close the critical gap in pediatric radiology AI by providing the subspecialty expertise, training data, and validation services that the industry urgently needs.
Our Commitment
Every child deserves the benefits of AI-enhanced diagnostic imaging. We are committed to ensuring that pediatric AI models are as rigorously developed and validated as their adult counterparts.
Our Approach
We combine deep clinical expertise with technical AI knowledge and industry experience to deliver solutions that are both scientifically rigorous and practically deployable.